bgruszka

#!/usr/bin/python
# coding=utf-8

# Python version of Zach Holman's "spark"
# https://github.com/holman/spark
# by Stefan van der Walt <stefan@sun.ac.za>

"""
USAGE:

bgruszka

Latency Comparison Numbers
--------------------------
L1 cache reference                            0.5 ns
Branch mispredict                             5   ns
L2 cache reference                            7   ns             14x L1 cache
Mutex lock/unlock                            25   ns
Main memory reference                       100   ns             20x L2 cache, 200x L1 cache
Compress 1K bytes with Zippy              3,000   ns
Send 1K bytes over 1 Gbps network        10,000   ns    0.01 ms
Read 4K randomly from SSD*              150,000   ns    0.15 ms

bgruszka

These weights are often combined into a tf-idf value, simply by multiplying them together. The best scoring words under tf-idf are uncommon ones which are repeated many times in the text, which lead early web search engines to be vulnerable to pages being stuffed with repeated terms to trick the search engines into ranking them highly for those keywords. For that reason, more complex weighting schemes are generally used, but tf-idf is still a good first step, especially for systems where no one is trying to game the system.

There are a lot of variations on the basic tf-idf idea, but a straightforward implementation might look like:

    <?php
    $tfidf = $term_frequency *  // tf
        log( $total_document_count / $documents_with_term, 2); // idf
    ?>

It's worth repeating that the IDF is the total document count over the count of the ones containing the term. So, if there were 50 documents in the collection, and two of them contained the term in question, the IDF would be 50/2 = 25. To be accurate, we s

bgruszka

"""An lxml Port of Nirmal Patel's port (http://nirmalpatel.com/fcgi/hn.py) of
Arc90's Readability to Python.
"""

import re
from lxml.html import fromstring, tostring
from lxml.html.clean import Cleaner

NEGATIVE = re.compile('comment|meta|footer|footnote|foot')
POSITIVE = re.compile('post|hentry|entry|content|text|body|article')

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module.exports = (robot) ->
  robot.respond /deploy to stage/i, (msg) -> 
    process.chdir('/your/dir') 
    doing = require('child_process').spawn 'phing', ['remotedeploy','-Denv=stage'] 
    msg.send 'stage deployment request sent'

bgruszka

<?xml version="1.0"?>
<!DOCTYPE fontconfig SYSTEM "fonts.dtd">
<fontconfig>

	<!--
		Documented at
		http://linux.die.net/man/5/fonts-conf
			
		To check font mapping run the command at terminal
		$ fc-match 'helvetica Neue'

bgruszka

tmux shortcuts & cheatsheet

start new:

tmux

start new with session name:

tmux new -s myname

bgruszka

upstream gitlab {
  server                    172.17.42.1:10080 fail_timeout=0;
}

# let gitlab deal with the redirection
server {
  listen                    80;
  server_name               git.example.com;
  server_tokens             off;
  root                      /dev/null;

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LOADING=false
 
usage()
{
    cat << EOF
    usage: $0 [options] dbname
 
    OPTIONS:
        -h      Show this help.
        -l      Load instead of export

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<?php

// Script to convert Symfony YAML translation files to XLIFF.
//
// Will add a .xliff version of the given file in its directory.
//
// $ php convert.php path/to/MyBundle.en.yml

$file = $argv[1];